基于不确定规划理论的配电网优化规划  

Optimization Planning for Power Distribution Network Based on Uncertain Programming Theory

作　　者：杨志平 文波 洪彬倬 

机构地区：[1]广东电网有限责任公司河源供电局,广东河源517000 [2]广东电网有限责任公司阳江供电局,广东阳江529500

出　　处：《广东电力》2016年第5期46-53,共8页Guangdong Electric Power

摘　　要：随着分布式电源(distributed generation,DG)发电技术越来越多地渗透到电力系统中,给配电网规划带来了一定的冲击和影响。为此,利用不确定规划理论,对配电网中风力发电输出功率、光伏发电输出功率以及负荷大小的不确定性进行了模糊模拟,并建立了基于该理论的配电网网架优化模型。采用了基于树形结构编码的改进单亲遗传算法对模型进行求解。最后,通过对16节点配电网络算例的仿真分析,验证了基于不确定规划理论网架规划模型的可行性和改进单亲遗传算法的有效性。More and more wide application of distributed generation（DG）technology in power system brings certain impact and influence on power distribution network planning.Therefore,uncertain programming theory is used for fuzzy simulation on output power of wind power generation and photovoltaic generation and uncertainty of load in power distribution network,and an optimization model for power distribution network structure based on this theory is established as well.Meanwhile,improved partheno-genetic algorithm based on tree structure coding is used for solving the model.Finally,simulating analysis on 16-node system example verifies feasibility of the planning model based on uncertain programming theory and validity of the improved partheno-genetic algorithm.

关 键 词：分布式电源 配电网规划 不确定规划 模糊模拟 树形结构编码 改进单亲遗传算法 

分 类 号：TM614[电气工程—电力系统及自动化]